Enterprises across the globe are looking to utilize multiple data sources to implement a unified search experience for their employees and end customers. Considering the large volume of data that needs to be examined and indexed, the retrieval speed, solution scalability, and search performance… Read More »New expanded data format support in Amazon Kendra Rishabh Yadav AWS Machine Learning Blog
The video above represents one of the first times that a pangolin, one of the world’s most critically endangered species, was detected in real time using artificial intelligence. A U.K.-based nonprofit called Conservation AI made this possible with the help of NVIDIA technology. Such… Read More »UK’s Conservation AI Makes Huge Leap Detecting Threats to Endangered Species Across the Globe Angie Lee – Archives Page 1 | NVIDIA Blog
The loss metric is very important for neural networks. As all machine learning models are one optimization problem or another, the loss is the objective function to minimize. In neural networks, the optimization is done with gradient descent and backpropagation. But what are loss… Read More »Loss Functions in PyTorch Models Adrian Tam MachineLearningMastery.com
Amazon SageMaker JumpStart is the machine learning (ML) hub of SageMaker that offers over 350 built-in algorithms, pre-trained models, and pre-built solution templates to help you get started with ML fast. JumpStart provides one-click access to a wide variety of pre-trained models for common… Read More »Implementing MLOps practices with Amazon SageMaker JumpStart pre-trained models Vivek Gangasani AWS Machine Learning Blog
Posted by Haim Kaplan and Yishay Mansour, Research Scientists, Google Research Differential privacy (DP) machine learning algorithms protect user data by limiting the effect of each data point on an aggregated output with a mathematical guarantee. Intuitively the guarantee implies that changing a single user’s… Read More »FriendlyCore: A novel differentially private aggregation framework Google AI Google AI Blog
Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’ll Continue reading Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’llContinue reading Read More OptiML, Scripting,… Read More »Automated Machine Learning for Imbalanced Data martinprats The Official Blog of BigML.com
Surfers, swimmers and beachgoers face a hidden danger in the ocean: rip currents. These narrow channels of water can flow away from the shore at speeds up to 2.5 meters per second, making them one of the biggest safety risks for those enjoying the… Read More »Making a Splash: AI Can Help Protect Ocean Goers From Deadly Rips Brian Caulfield – Archives Page 1 | NVIDIA Blog
Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Within our lifetimes,… Read More »Google Research, 2022 & beyond: Robotics Google AI Google AI Blog
Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. In some… Read More »Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context Rohit Satyanarayana AWS Machine Learning Blog
We’re excited to announce that Amazon Personalize now lets you measure how your personalized recommendations can help you achieve your business goals. After specifying the metrics that you want to track, you can identify which campaigns and recommenders are most impactful and understand the… Read More »Measure the Business Impact of Amazon Personalize Recommendations Anna Gruebler AWS Machine Learning Blog